Mingqiang Fu

1.2k citations
39 papers · 873 · h-index 17

Impact in

Papers in

Mingqiang Fu

35 papers receiving 859 citations

Peers

Mingqiang Fu
Comparison fields: 5 of 90
  • Cardiology and Cardiovascular Medicine 311
  • Health Informatics 12
  • Genetics 80
  • Cancer Research 87
  • Biophysics 31
Replace Doubun Hayashi with:
Doubun Hayashi Japan
Yukihiro Saito Japan
Jingmin Zhou China
Adam Nabeebaccus United Kingdom
Michiya Ohno Japan
Qiutang Zeng China
Tieqiang Zhao United States
Kohsuke Shirakawa Japan
Chu Kataoka Japan
Guoxian Qi China
Mingqiang Fu relative to Doubun Hayashi Japan Doubun Hayashi's profile →
Citations per field
00.5×6.6×
Doubun Hayashi · 1×
Citations per year

Countries citing papers authored by Mingqiang Fu

Since Specialization
Citations

This map shows the geographic impact of Mingqiang Fu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mingqiang Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingqiang Fu more than expected).

Fields of papers citing papers by Mingqiang Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mingqiang Fu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mingqiang Fu. The network helps show where Mingqiang Fu may publish in the future.

Co-authors

The 25 scholars most cited alongside Mingqiang Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mingqiang Fu Line = papers co-authored together Mingqiang Fu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017117
2 2009104
3 202178
4 201266
5 201143
6 201842
7 201441
8 201738
9 201236
10 201631
11
Qiliqiangxin improves cardiac function and attenuates cardiac remodeling in rats with experimental myocardial infarction.
201528
12 201426
13 201025
14 201023
15 201519
16 202017
17 202016
18 201915
19 201714
20 201213

About Mingqiang Fu

Mingqiang Fu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cancer Research, Surgery and Genetics, having authored 39 papers that have together received 873 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (6 papers), Coronary Interventions and Diagnostics (5 papers), Mesenchymal stem cell research (4 papers), Cancer-related molecular mechanisms research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cardiac Imaging and Diagnostics (3 papers), Fuel Cells and Related Materials (2 papers) and Heart Failure Treatment and Management (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (311 citations), Health Informatics (12 citations), Genetics (80 citations), Cancer Research (87 citations) and Biophysics (31 citations). Mingqiang Fu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Yunzeng Zou, Junbo Ge, Aijun Sun, Juying Qian, Chunyu Zhang, Jingmin Zhou, Junbo Ge, Jingmin Zhou, Jianfeng Xu and Chao Wu. Their work appears in journals such as Journal of Cellular and Molecular Medicine, BMC Cardiovascular Disorders, Journal of Interventional Cardiology, International Journal of Cardiology and The American Journal of Cardiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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